Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 2 Minute(s)
Language
English
Taught by
Maxime Vandegar
Rating
1 views
Course Overview
Introduction to NeRF, volumetric rendering, and 3D reconstruction
Welcome to this course about Neural Radiance Fields (Nerf)!
Neural radiance fields is an innovative technology that is attracting a lot of interest in the world of computer vision. Nerf allows novel view synthesis, and 3D reconstruction, among other things. Since its appearance two years ago, many startups have been created, and as job offers suggest, large technology companies (Meta, Apple, Google, Amazon, ...) are using it.
In this online course, you will discover:
How Nerf models work and how they can be used in various applications
How to train and evaluate a Nerf model
How to generate novel views from an optimized model
How to extract a 3D mesh from an optimized model
How to integrate Nerf into your computer vision projects
Examples of real-world use cases for Nerf in the industry
Our course is designed for developers and scientists who want to learn about Nerf and use it in their projects. We cover all aspects of setting up and using Nerf, from start to finish.
Register now to access our comprehensive online course on Nerf models and learn how this technology can enhance your computer vision projects.
Don't miss this opportunity to learn about the latest advances in computer vision with Nerf!
Course Content
- 9 section(s)
- 70 lecture(s)
- Section 1 Introduction
- Section 2 3D reconstruction
- Section 3 3D reconstruction : modules
- Section 4 NeRF : Neural Radiance Fields
- Section 5 Novel view synthesis
- Section 6 Mesh extraction
- Section 7 Going further: scientific papers
- Section 8 Tools and open source implementations
- Section 9 Conclusion
What You’ll Learn
- Introduction to reconstruction
- Introduction to 3D reconstruction
- Introduction to Neural Radiance Fields (NeRF)
- Novel view synthesis with NeRF
- 3D reconstruction with NeRF (mesh extraction)
- Introduction to 3D rendering
Skills covered in this course
Reviews
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EEhsan Agha Ebrahimi
the quality of voice is not good. some words are not clear. concepts are not explaining well.
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AAbhinay Belde
Unfortunately the accent is too thick. It makes it harder to concentrate all the time!
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GGustavo Oliveira
Mr. Vandegar has delivered an exceptional work on Neural Radiance Fields (NeRF), meticulously building the foundational model from scratch and illuminating its connection to voxel rendering. The final segment of his presentation is particularly noteworthy, as he navigates through various open-source libraries and curates a selection of the most influential white papers in NeRF research, focusing on optimizations and quality enhancements. A constructive suggestion would be for Mr. Vandegar to consider selecting a few of the papers he discusses and create a sequel to demonstrate their practical implementation. His contribution to the community is immensely valuable, and his willingness to share his extensive knowledge is greatly appreciated.
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BB S
I like the course, thank you! I would like to hear a bit more about the toolchain and frameworks. The papers section could be more concise - no need in mentioning outdated papers, or including a paper that merely repeats/tweaks a technical concept that was introduced elsewhere. Would be very happy to see a similar course on Gaussian-Splatting!
